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Convergence: RAISE: Systems Approaches for Vulnerability Evaluation and Urban Resilience

Convergence: RAISE: Systems Approaches for Vulnerability Evaluation and Urban Resilience
融合:RAISE:脆弱性评估和城市复原力的系统方法
批准号:
1848683
负责人:
Aaron Packman
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2022-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
The inability to assess and predict the extent and impact of extreme weather conditions within cities is a critical vulnerability. Urban floods come from overflowing rivers and streams as well as insufficient drainage from impervious surface structures. The lack of neighborhood-scale forecasts for flooding hampers social and public health intervention efforts. Similar limitations exist for air quality and heat island/temperature impacts. This research project will combine perspectives from natural, social, data and engineering sciences to improve the prediction of weather patterns, air quality, flooding, and social and economic impacts at the neighborhood scale. Sensor installations and model simulations will be used to examine the potential for green infrastructure to reduce flooding, moderate heat waves, and improve air quality locally and across the region. Models that integrate across rainfall, topography, urban infrastructure and impervious surfaces are not currently viable or available. This research project will enable the integration of water routing mechanisms that were previous treated separately and can now be considered as portions of a larger more complex problem. Project results will be directly used for vulnerability assessment and infrastructure design in Chicago neighborhoods.This convergence project will catalyze new multi-level urban assessment and prediction capabilities; yield new capacity for city-scale simulations of links between weather, infrastructure, and population vulnerability; and demonstrate the application of this new systems-level prediction framework to adaptive green infrastructure design. The principle components of the project include (1) installation and utilization of remote and distributed sensing to measure impacts; (2) high-resolution infrastructure/environmental models that elucidate links between severe weather, urban infrastructure, and vulnerability; and (3) an assessment of co-occurring social and economic impacts as a result of extreme weather, infrastructure and urban topography. Many graduate students and postdocs will be directly engaged in the project. The project will contribute vulnerability maps to local jurisdictions and will encourage government and public/private discourse on urban vulnerability to extreme weather as well as potential resilience strategies. Project data will be publicly available through the Chicago Data Portal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(15)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1002/eco.2321
发表时间: 2021-07
期刊: Ecohydrology
影响因子: 2.6
作者: [V. Ouellet;K. Khamis;Danny Croghan;Liliane M. Hernandez Gonzalez;Vivien A. Rivera;C. B. Phillips;A. Packman;W. M. Miller;Richard G. Hawke;D. Hannah;S. Krause]
通讯作者: V. Ouellet;K. Khamis;Danny Croghan;Liliane M. Hernandez Gonzalez;Vivien A. Rivera;C. B. Phillips;A. Packman;W. M. Miller;Richard G. Hawke;D. Hannah;S. Krause
DOI: 10.1038/s43017-020-0079-1
发表时间: 2020-09-01
期刊: NATURE REVIEWS EARTH & ENVIRONMENT
影响因子: 42.1
作者: [Diffenbaugh, Noah S., Field, Christopher B., Wong-Parodi, Gabrielle]
通讯作者: Wong-Parodi, Gabrielle
DOI: 10.1038/s41558-020-0731-2
发表时间: 2020-03-30
期刊: NATURE CLIMATE CHANGE
影响因子: 30.7
作者: [Deser, C., Lehner, F., Ting, M.]
通讯作者: Ting, M.
DOI: 10.1016/j.oneear.2021.08.003
发表时间: 2021-08
期刊: One Earth
影响因子: 16.2
作者: [D. Horton]
通讯作者: D. Horton
8
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